Paper Info
Title
Performance evaluation of an advanced method for automated identification of view positions of chest radiographs by use of a large database
Abstract
For implementation of computer-aided diagnostic systems for chest radiographs, it is important to correctly identify the view position, i.e., posteroanterior (PA) or lateral view. Our purpose is to develop an advanced computerized method by using a template matching technique for correctly identifying either PA or lateral view, and to apply this method to approximately 48,000 PA and 16,000 lateral chest radiographs. To evaluate the similarity with templates, correlation values of a chest image with various templates were obtained and compared for determining whether a chest image is either a PA or a lateral view. By considering the variation in terms of patient's sizes, lung opacities, and lung sizes, we produced 24 templates of PA and lateral views. In the first step, two largest correlation values of an unknown case with 3 PA and 2 lateral templates for medium-size patients were compared for determining the view position. In the second step, the unidentifiable cases in the first step were re-examined by comparison of the correlation values with 11 to 19 templates for small and large patients. With the computerized method based on a template matching technique, 99.99%(=63,788/63,791) of chest images in the large database were correctly identified in terms of PA or lateral views.
Year
DOI
Venue
2002
10.1117/12.467171
Proceedings of SPIE
Keywords
Field
DocType
template matching technique,PACS,computer-aided diagnosis,image analysis,chest radiographs
Template matching,Diagnostic system,Lateral chest,Radiography,Medicine,Database,Computing systems
Conference
Volume
ISSN
Citations 
4684
0277-786X
5
PageRank 
References 
Authors
0.70
0
6
Name
Order
Citations
PageRank
Hidetaka Arimura1377.52
Shigehiko Katsuragawa217226.20
Takayuki Ishida35612.36
nobuhiro oda450.70
H Nakata5153.49
K Doi613526.74